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VTK is all you need. Cinema-quality science visualization for AI agents.
One prompt → physics analysis → cinematic renders → LaTeX equations → publication-ready story.
An MCP server that gives AI agents full access to VTK's rendering pipeline — no ParaView GUI, no Jupyter notebooks, no display server. Your agent reads simulation data, applies filters, renders cinema-quality images, and exports animations, all headless.
Works with: Claude Code · Cursor · Windsurf · Gemini CLI · any MCP client
pip install mcp-server-viznoirAdd to your MCP client config:
{
"mcpServers": {
"viznoir": {
"command": "mcp-server-viznoir"
}
}
}Then ask your AI agent:
"Open cavity.foam, render the pressure field with cinematic lighting, then create a physics decomposition story."
| Category | Tools |
|---|---|
| Rendering | render · cinematic_render · batch_render · volume_render |
| Filters | slice · contour · clip · streamlines · pv_isosurface |
| Analysis | inspect_data · inspect_physics · extract_stats · analyze_data |
| Probing | plot_over_line · integrate_surface · probe_timeseries |
| Animation | animate · split_animate |
| Comparison | compare · compose_assets |
| Export | preview_3d · execute_pipeline |
22 tools · 12 resources · 4 prompts · 50+ file formats (OpenFOAM, VTK, CGNS, Exodus, STL, glTF, …)
prompt "Render pressure from cavity.foam"
│
MCP Server 22 tools · 12 resources · 4 prompts
│
VTK Engine readers → filters → renderer → camera
│ EGL/OSMesa headless · cinematic lighting
Physics Layer topology analysis · context parsing
│ vortex detection · stagnation points
Animation 7 physics presets · easing · timeline
│ transitions · compositor · video export
Output PNG · WebP · MP4 · GLTF · LaTeX
| 22 MCP tools | 24 VTK filters |
| 10 domains | 19 native file formats |
| 6/6 VTK data types | 50+ formats via meshio |
Homepage: kimimgo.github.io/viznoir
Developer docs: kimimgo.github.io/viznoir/docs — full tool reference, domain gallery, architecture guide
MIT